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View Code? Open in Web Editor NEWThe official code and dataset for EMNLP 2022 paper "COPEN: Probing Conceptual Knowledge in Pre-trained Language Models".
License: MIT License
The official code and dataset for EMNLP 2022 paper "COPEN: Probing Conceptual Knowledge in Pre-trained Language Models".
License: MIT License
Hi, I'm quite interested in your work and would like to try your code.
Your code is excellent. However, there is several problems that I have to fix before successfully running it.
Hello, I would like to try my models in the probing settings.
However, it seems that the test sets are not labelled, so we can only submit to codalab.
I spent several hours studying how to generate a file to be submitted to codalab, and now I suppose files like answer-bert-base-uncased-probs.json are what we should submit. Is it right?
Also, I found that there are an argument named "mask_position", which is a value from [all, answer, concept], and these values yield corresponding files. I wonder what's the difference among these values.
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